code: def test_training_arg_not_specified(self):
      class NoTrainingSpecified(layers.Layer):
          def __init__(self):
              super().__init__()
  
          def build(self, input_shape):
              self.activation = layers.Activation("linear")
  
          def call(self, inputs):
              return self.activation(inputs)
  
      layer = NoTrainingSpecified()
      inputs = ops.random.uniform(shape=(1, 100, 100, 3))
      layer(inputs, training=True)
  
imports: import numpy
  import pytest
  from keras import backend
  from keras import layers
  from keras import metrics
  from keras import models
  from keras import ops
  from keras import testing
label_desc: Use image node_id 16 for calling the LayerTest obj's underlying member method code with example usage: obj.test_training_arg_not_specified() and returns: self